package com.iniesta.flink.connector.mqtt;

/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import org.apache.flink.api.java.DataSet;
import org.apache.flink.api.java.ExecutionEnvironment;
import org.apache.flink.api.java.operators.DataSink;
import org.apache.flink.api.common.functions.FlatMapFunction;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.util.Collector;

public class WordCount2Mqtt {

	//
	// Program
	//

	public static void main(String[] args) throws Exception {

		// set up the execution environment
		final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();

		// get input data
		DataSet<String> text = env.fromElements("To be, or not to be,--that is the question:--",
				"Whether 'tis nobler in the mind to suffer", "The slings and arrows of outrageous fortune",
				"Or to take arms against a sea of troubles,");

		DataSet<Tuple2<String, Integer>> counts =
				// split up the lines in pairs (2-tuples) containing: (word,1)
				text.flatMap(new LineSplitter())
						// group by the tuple field "0" and sum up tuple field "1"
						.groupBy(0).sum(1);

		// execute and print result
		// counts.print();

		DataSink<Tuple2<String, Integer>> dataSink = counts.output(new MqttOutputFormat<>("cydonia", 1883, "/samples"));

		env.execute();

	}

	//
	// User Functions
	//

	/**
	 * Implements the string tokenizer that splits sentences into words as a
	 * user-defined FlatMapFunction. The function takes a line (String) and splits
	 * it into multiple pairs in the form of "(word,1)" (Tuple2<String, Integer>).
	 */
	public static final class LineSplitter implements FlatMapFunction<String, Tuple2<String, Integer>> {

		@Override
		public void flatMap(String value, Collector<Tuple2<String, Integer>> out) {
			// normalize and split the line
			String[] tokens = value.toLowerCase().split("\\W+");

			// emit the pairs
			for (String token : tokens) {
				if (token.length() > 0) {
					out.collect(new Tuple2<String, Integer>(token, 1));
				}
			}
		}
	}
}
